Director, Product Management - Enterprise AI/ML

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

• Define Generative AI and ML Platform vision and strategy
• Continuously evolve the platforms of industry-leading AI/ML capabilities while maintaining a pristine user experience for our highly talented innovators
• Partner strategically with adjacent platform leaders to maintain a cohesive and integrated enterprise platform ecosystem that adapts to a changing world
• Unlock game-changing value across the business, while generating real-time, intelligent experiences for our customers

Capital One Product Framework

In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:

• Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions
• Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence
• Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
• Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks
• Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment

• Bachelor's degree in any field and at least 5 years of Product Management experience

• Experience translating business strategy and analysis into consumer facing digital products
• 7+ years of experience within a large, data-intensive multi-line of business environment with significant complexity and scale
• 3+ years of experience in people leadership
• 5+ years of experience in innovative technology environments that embrace public cloud (e.g., AWS) and open source technologies (e.g. Kubernetes, Spark, Ray, LangChain)
• 3+ years experience building business-critical AI and Machine Learning products
• Experience in AI Risk Management

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Chicago, IL: $209,500 - $239,100 for Director, Product Management

McLean, VA: $230,400 - $263,000 for Director, Product Management

New York, NY: $251,400 - $286,900 for Director, Product Management

San Francisco, CA: $251,400 - $286,900 for Director, Product Management

Director, Product Management - Enterprise AI/ML

The Director of Product Management - Enterprise AI/ML will lead a product team spanning the Machine Learning and AI platforms at Capital One, and will be responsible for the capabilities that enable Capital One associates to train and serve Models and Generative/Agentic AI applications that power our business.

We are looking for a deeply technical product leader with a proven history of building products and experiences for data scientists and software developers. This individual will have deep domain expertise in AI/ML technologies for Data Scientists and familiarity with emerging infrastructure and autonomous multi-agent systems for Generative AI application development. An ideal candidate may have prior experience as an engineer or data scientist, with several years as a technical Product Manager and leader of a product management team.

This leader will set the strategy and priorities grounded in technical understanding and user experience. They must be able to sit in the shoes of the user (data scientists and engineers) and drive adoption of Generative AI (including Agentic AI).